Identification and Calculation of Horizontal Curves for Low-Volume Roadways Using Smartphone Sensors
@article{Wood2018IdentificationAC, title={Identification and Calculation of Horizontal Curves for Low-Volume Roadways Using Smartphone Sensors}, author={Jonathan S. Wood and Shaohu Zhang}, journal={Transportation Research Record}, year={2018}, volume={2672}, pages={1 - 10} }
Horizontal curves are a contributing factor to the number of observed roadway crashes. Identifying locations and geometric characteristics of horizontal curves plays a crucial role in crash prediction and prevention. However, most states in the USA face a challenge in maintaining detailed and high-quality roadway inventory databases for low-volume rural roads due to the labor-intensive and time-consuming nature of collecting and maintaining the data. This paper proposes a low-cost mobile road…
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References
SHOWING 1-10 OF 38 REFERENCES
Low-Cost Realtime Horizontal Curve Detection Using Inertial Sensors of a Smartphone
- Computer Science2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)
- 2016
This paper proposes to significantly reduce the cost for road inventory specifically focusing on horizontal curve detection by developing a mobile road inventory system based on off-the-shelf smartphones.
Using low-cost smartphone sensor data for locating crash risk spots in a road network
- Computer Science
- 2016
Avoiding Roadway Departure Crashes with an In-Vehicle Head-Up Display
- Computer Science
- 2015
This study proposes a method of warning drivers of horizontal curves in order to prevent motor vehicles from running off the road and the overall results indicate relatively high accuracy.
Enabling energy-efficient driving route detection using built-in smartphone barometer sensor
- Computer Science2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC)
- 2016
This paper designs, implements, and evaluates a mobile system that effectively captures significant journeys based solely on the embedded barometer sensor of a smartphone that is position/orientation independent and exceptionally energy efficient compared to other power-hungry sensors like gyroscopes and GPS units.
Collecting Horizontal Curve Data: Mobile Asset Vehicles and Other Techniques
- Environmental Science
- 2013
Mobile asset data collection vehicles can provide transportation agencies with inventories of various roadway and roadside elements containing location information, element type, and condition data.…
Automated Extraction of Horizontal Curve Information for Low-Volume Roads
- Economics
- 2015
Rates of fatal and injury crashes on low-volume roads are much higher than those on higher-volume roads. A large proportion of crashes on low-volume roads are roadway departure crashes. Research has…
SenSpeed: Sensing Driving Conditions to Estimate Vehicle Speed in Urban Environments
- Computer ScienceIEEE Transactions on Mobile Computing
- 2016
An accurate vehicle speed estimation system, SenSpeed, which senses natural driving conditions in urban environments including making turns, stopping, and passing through uneven road surfaces to derive reference points and further eliminates the speed estimation deviations caused by acceleration errors is proposed.
Road condition monitoring and alert application: Using in-vehicle Smartphone as Internet-connected sensor
- Computer Science2012 IEEE International Conference on Pervasive Computing and Communications Workshops
- 2012
The proposed solution brings in novel energy-efficient phone-orientation-agnostic accelerometer analytics in phone, reduces the data volume that needs be communicated between phone and the back-end over Internet, brings in multi-user fusion concepts to create authentic road condition maps and addresses privacy concerns for the phone user for sharing the required data.
Measurement of Pavement Roughness Using Android-Based Smartphone Application
- Engineering
- 2014
Pavement roughness is an expression of the irregularities in a pavement surface that adversely affect the ride quality of a vehicle. Roughness also affects vehicle delay costs, fuel consumption,…
Evaluation and Validation of Automated In-Vehicle Data Collection System for Developing Roadway Alignments
- Business
- 2004
The Highway Safety Information System (HSIS) sponsored by FHWA includes crash and roadway inventory data from nine states for conducting safety studies. Whereas the initial choice of participating…